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Ekengwu, B. O.
- Minimizing PAPR of OFDM Signal Using Discrete Cosine Transform and Log Companding
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Authors
Affiliations
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
2 Department of Electronic Engineering, University of Nigeria, Nsukka, NG
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
2 Department of Electronic Engineering, University of Nigeria, Nsukka, NG
Source
International Journal of Advanced Networking and Applications, Vol 14, No 2 (2022), Pagination: 5361-5366Abstract
This paper proposed precoding of OFDM signal using Discrete Cosine Transform (DCT) and adding of Log companding algorithm so as to reduce PAPR. Three scenarios were considered to fully examine the effect of PAPR in OFDM system based on simulations conducted in MATLAB environment while varying the number of subcarriers, N = 64 and 256. Initial simulation using conventional OFDM showed high PAPR in transmitted signal for N = 64 and 256, which resulted in PAPR of 9.741 and 11.41 dB respectively. In the second case, log companding technique was introduced into the OFDM and it was observed that PAPR was significantly reduced to 5.664 dB, and 6.101 dB by a percentage improvement of 41.9% and 46.5% for N = 64 and 256. For the proposed scheme, DCT scheme was used to initially precode the OFDM and a log companding algorithm applied, the results obtained indicated more than half level of reduction in PAPR of OFDM signal such that for N = 64 and 256 the PAPR was reduced to 4.214 dB and 4.743 dB, which corresponded to percentage improvement of 56.7% and 58.4% respectively.Keywords
Discrete Cosine Transform, Log companding, OFDM, PAPRReferences
- M. Mounir, and M. B. El_Mashade, On the selection of the best companding technique for PAPR reduction in OFDM system. Journal of Information and Telecommunication, 3(3), 2019, 400-411.
- B. C. Agwah, S. A. Akaneme, and C. A. Nwabueze, Application of DFT precoding with repeated clipping and filtering for minimizing peak to average power ratio in OFDM system. Iconic Research and Engineering Journals, 3(11), 2020, 265-273.
- B. C. Agwah, C. A. Nwabueze, and S. A. Akaneme, Hybrid algorithm for optimizing peak to average power ratio performance in MIMO-OFDM system. World Journal of Engineering Research and Technology, 6(3), 2020, 625-640.
- B. Ekengwu, N. Asiegbu, Muoghalu, C., and I. Ezeanya, improving peak to average power ratio of OFDM signal using DCT precoding with combined Distortion Techniques. International Journal of Progressive Sciences and Technologies, 23(1), 2020, 42-48.
- L. Amhaimar, S. Ahyoud, A. Elyaakoubi, A. Kaabal, K. Attari, and A. Asselman, papr reduction using fireworks search optimization algorithm in MIMOOFDM systems. Hindawi, Journal of Electrical and Computer Engineering, 2018, 1-12.
- L. Amhaimar, K. Attari, M. Halaoui, A. Elyaakoubi, S. Ahyoud, and A. Asselman, peak-to-average power ratio reduction using new swarm intelligence algorithm in OFDM systems. The 12th International Conference Interdisciplinary in Engineering, Procedia Manufacturing 32, 2019, 831-839.
- K. Anoh, B. Adebisi, K. M. Rabie., and C. Tanriover, Root-based nonlinear companding technique for reducing papr of precoded OFDM Signals. IEEE Access, 6, 2017, 4618-4629. DOI 10.1109/ACCESS.2017.2779448
- A. V. Manjula, and K. N. Muralidhara, PAPR reduction in ofdm systems using rcf and SLM techniques. International Journal of Computer Applications 158(6), 2017, 6-9.
- S. Dubey, and R. Gupta, PAPR reduction in ofdm using precoding method, precoding with repeated clipping and filtering (RCF) method and precoding with clipping method. Advances in Computer Science and Information Technology (ACSIT), 3(3), 2016, 174-177.
- M. Mounir, I. F. Tarrad, M. I. and Youssef, performance evaluation of different precoding matrices for PAPR reduction in OFDM systems, Internet Technology Letters, 1(70), 2018, 1-6. https://doi.org/10.1002/itl2.70
- W. Yi, and G. linfeng, An investigation of peak-toaverage power reduction in MIMO-OFDM systems, Blekinge Institute of Technology.
- Improving Bit Error Rate of MIMO-OFDM System Using Discrete Wavelet Transformation
Abstract Views :129 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
2 Department of Electronic Engineering, University of Nigeria, Nsukka, NG
1 Department of Electrical and Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, NG
2 Department of Electronic Engineering, University of Nigeria, Nsukka, NG
Source
International Journal of Advanced Networking and Applications, Vol 14, No 2 (2022), Pagination: 5378-5384Abstract
This paper has developed a discrete wavelet transform (DWT) for multicarrier modulation in MIMO-OFDM system. The proposed system used additive Gaussian white noise (AGWN) and Rayleigh flat fading channel with respect to SNR using binary phase shift keying (BPSK). The algorithms for various scenarios of MIMO-OFDM system have been developed and simulated in MATLAB environment. The performance metric of the system was based on bit error ratio (BER) variation over values of signal to noise ratio (SNR) for different transmit and receive antennas including single input multiple output (SIMO) arrangement. The simulation results showed that the performance of DWT based MIMO-OFDM outperformed DFT based MIMO-OFDM. For the 2×1, 2×2, 2×3 MISO and MIMO systems, the DWT scheme offered reduced BER of 1.803e-05, 1.502e-05, and 1.413e-05 against 0.005847, 0.005361, and 0.005325 for the DFT scheme with respect to signal to noise ratio (SNR) at 10 dB. Generally, the results showed that using DWT scheme in OFDM for wireless communication system does not require an extra subcarrier to provide cyclic prefix function that serves as additional cost burden and reduces bandwidth.Keywords
Bit Error Rate, Discrete Fourier transform, Discrete wavelet transform, MIMO system, Transmission capacityReferences
- N. Parveen, K. Abdullah, R. Islam, and R. I. Boby, Diversity technique using discrete wavelet transform in OFDM system, International Journal of Engineering and Advanced Technology, 8(2S2), 2019, 284-287.
- A. Bouhlel, A. Sakly, and N. Mansouri, Performance comparison of DWT based MIMO OFDM and FFT based MIMO OFDM, The International Conference on Advanced Wireless, Information, and Communication Technologies, Procedia Computer Science 73, 2015, 266-273.
- P. Vani, and S. Bargade, Improvement of Ber for Mimo-Ofdm system using wavelet transform. International Journal of Innovative Technology and Exploring Engineering, 8(8), 2019, 204-207.
- S. S. Hreshee, and Q. K. Al-GayemImproving MIMO-OFDM performance with convolutional coding and discrete wavelet transform. International Journal of Electrical and Electronic Engineering & Telecommunication, 9(5), 2020, 299-305.
- N. M. Tan, H.-M. Chen, B. D. Giap, H. Nhat, Q. Le, Wavelet transform application based on Matlab simulation. VNU Journal of Science: Mathematics- Physics, 36(1), 2020, 87-94.
- B. Somasekhar, Ch. N., Krishma, and Y. Murty, Investigations on wavelet and Fourier transformation based channel estimation in MIMO-OFDM system. International Journal of Engineering &Technology, 7(2.21), 2018, 228-231.
- R. Tang, X. Zhou, and W. Wang, A Haar wavelet decision feedback channel estimation method in OFDM systems. MDPI, Applied Sciences, 8(877), 2018, 1-15.
- S. Sarowa, N. Kumar, and R.S. Singh, Analysis of WOFDM over LTE 1.25MHz band. Hindawi, Wireless Communications and Mobile Computing, 2020, 1-8.
- N. Parveen, Development of MIMO diversity technique with discrete wavelet transform for millimetre wave communication system. Master Thesis, International Islamic University, Malaysia, 2020.